Xeff analysis method optimization to enhance IACTs performances

TL;DR

This paper improves the Xeff analysis method for gamma-ray astronomy by refining variable distributions, incorporating observation conditions, and adding new variables, resulting in enhanced sensitivity demonstrated through simulations and real data.

Contribution

The paper introduces specific refinements to the Xeff analysis method, leading to improved performance in gamma-ray data analysis.

Findings

Significant gain in sensitivity compared to standard analysis.

Enhanced discrimination of gamma-ray events.

Validated improvements using both simulations and real data.

Abstract

The seek of high precision analyses in $\gamma$-ray astronomy leads to the implementation of multivariate combination, benefiting from several reconstruction methods. Such analysis, called $X_{eff}$, was developed for the H.E.S.S. data using three shower reconstruction methods. This paper presents the improvement granted to this analysis by refining the distribution calculation of discriminant variables, considering observation conditions, and adding new variables in the $X_{eff}$ combination. The efficiency of the analysis is presented using simulations and real data. A comparison with the standard analysis (model++), for a typical set of sources, shows a significant gain in sensitivity.